搜索资源列表
dx_Billboard
- The Billboard sample illustrates the billboarding technique. Rather than rendering complex 3D models (such as a high-polygon tree model), billboarding renders a 2D image of the model and rotates it to always face the eyepoint. This techniqu
联机数字、英文字符及汉字识别
- 3D model search engine A HYBRID METHOD FOR IMAGE PARTITION 一种基于视觉嫡的图像分割压缩方法
51622408Demo001
- 基于三维空间三角网格的二维投影图像变换，包括3D仿射变换，基础矩阵求解及欧式空间的重构，对基于图像的三维重构有研究的朋友可以看下 -Medical image visualization technologies build 3D models with 2D medical image series to provide useful and precise information for the doctors. It is one of the crucial technologies
image-texture-mapping
- 这个Matlab程序实现了二维图像到三维图像的纹理映射功能。作者原本，把它用于MRI医学图像中。-The Matlab program achieved a two-dimensional image into three-dimensional image texture mapping function. Author of the original, it used in MRI medical images.
Snake
- Hi This mfile is source code for image segementation using active contour models [Snake]. It found the objects in imaages.
PQRbayes
- 从ML-EM 重建算法入手，分析了贝叶斯模型的一些关键点，针对采用传统方法求解MAP问题的局限性，提出一种用于正电子成像的贝叶斯神经网络重建算法，为了保留边缘信息，引入了二进制的保边缘变量，并应用共轭神经网络求解，模拟的重建结果表明，应用这种算法可以得到比ML-EM 算法更好的重建图像@-From the ML-EM reconstruction algorithm start with an analysis of Bayesian model some of the key points,
homework4_2009512872_SonglinPiao
- 用一张2维图像还原出3D模型的java源代码-reconstruct a 3D model using a 2D image
Robot 3D Arm
- 工业机器人的图像处理，动画控制其他MATLAB工具箱（虚拟现实工具箱）Matlab的许多功能。 所附文件包含在Simulink模型，转换成图像信号，数据处理，以控制机器人动画-In this project I try to use many features of Matlab like image processing , animation control (Virtual Reality Toolbox) with other Matlab toolboxes. The attached
A-Literature-Review-of-Image-Segmentation
- This literature review attempts to provide a brief overview of some of the most common segmentation techniques, and a comparison between them. It discusses the “Grab-Cut” technique, and reviews some some of the common matting techniques. The graph cu
SyntheticMethodsfortheMedicalImageProcessingand3DR
- 医学图象处理及其三维重建是目前研究的热点问题，它涉及计算机图形学、数字图像处理计算机视觉、以及人机交互技术。 医学图像预处理与三维重建是可视化技术的核心环节，二者直接关系着三维可视化的效果和速度。本文介绍了灰度变换噪声消除以及 伪彩色编码等图像预处理技术。然后着重探讨了三维重建技术中的体绘制和面绘制算法以及这两种算法的优点和不足。最后总结了网格消减算法，并利用它对MC算法进行表面网格简化。 -Medical processing and 3D reconstruction is a
PictureGame
- VC++开发的简易型拼图游戏，含多种效果，奉献源代码。游戏内置几张图片，也可以自己指定外部图片，指定如何打散；另外有容易和困难两种游戏模式，在显示上，支持3D和平面模式，貌似3D模式还没有开发完成。游戏打开后即开始背景音乐，这个你也可选择首自己喜欢的歌曲做背景。-VC++ development Simple jigsaw puzzle, with multiple effects, contribute source code. Games built a few pictures, you
10.1.1.33.877.pdf
- 3D Image Matching Using a Finite Element Based Elastic Deformation Model
MITK-based-3D-visualization
- 本文以医学影像处理与分析平台MITK为基础,在VS2008环境中建立MFC应用程序,首先实现了多种格式二维CT图像文件的读取显示、切片浏览和数据保存；再通过MC算法和光线投影算法得到表面绘制模型和体绘制模型；最后完成对三维图像简单的人机交互式操作。-Medical image processing and analysis platform MITK the establishment of an MFC application in VS2008 environment, first of
proyeksi
- In substance, Computer Graphics is a process of transformation from the 3D model object in the form of information geometric shape, pose information, color, texture, and lighting into a 2D image
BParticleAppa
- 基于JAVA 3D做的喷泉模型.比比较形象,大家可以参考参考,互相学习. -JAVA 3D model of the fountain. Than the comparison image, we can refer to the reference, to learn from each other.
psoe-estimation-by-image-matching
- 通过三维模型生成的各种姿态图像与输入图像对比，找出匹配度最高的图像，即可估计出输入图像的目标姿态。-The image with the best matching degree can be found images which generated 3D model by matching with input image, and the pose is estimated.
p835-snavely
- abstract: We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the vie
EIDORS-3D-model
- EIDORS软件的使用程序，3d模型和图像重构-EIDORS software the use of the program, 3 d model and image reconstruction
DFF
- 用dff理论来获得图像的三维模型，先对光场图像进行重聚焦，进而生成深度图，再进行重建(DFF theory is used to obtain the 3D model of the image. Firstly, the light field image is re focused, then the depth map is generated, and then reconstructed)
Weprormulatioploye
- Wepropose a novel method for 3D image segmentation, where a Bayesian formulation, based on joint prior knowledge of the object shape and the image gray levels(In addition, we evaluate the performance of the level set representation of the object shap